Neural Networks for Classification: Data Science in Python

Learn to apply Neural Networks for Classification from a Data Science expert. Code templates included.

What you will learn

Master Multilayer Perceptron Neural Networks in Python

Become an advanced, confident, and modern data scientist from scratch

Become job-ready by understanding how Neural Networks really work behind the scenes

Apply robust Data Science techniques for Multilayer Perceptron Neural Networks

How to think and work like a data scientist: problem-solving, researching, workflows

Get fast and friendly support in the Q&A area


You’ve just stumbled upon the most complete, in-depth Neural Networks for Classification course online.

Whether you want to:

– build the skills you need to get your first data science job

– move to a more senior software developer position

– become a computer scientist mastering in data science

– or just learn Neural Networks to be able to create your own projects quickly.

…this complete Neural Networks for Classification Masterclass is the course you need to do all of this, and more.

This course is designed to give you the Neural Network skills you need to become a data science expert. By the end of the course, you will understand the Multilayer Perceptron Neural Networks for Classification method extremely well and be able to apply them in your own data science projects and be productive as a computer scientist and developer.

What makes this course a bestseller?

Like you, thousands of others were frustrated and fed up with fragmented Youtube tutorials or incomplete or outdated courses which assume you already know a bunch of stuff, as well as thick, college-like textbooks able to send even the most caffeine-fuelled coder to sleep.

Like you, they were tired of low-quality lessons, poorly explained topics, and confusing info presented in the wrong way. That’s why so many find success in this complete Neural Networks for Classification course. It’s designed with simplicity and seamless progression in mind through its content.

This course assumes no previous data science experience and takes you from absolute beginner core concepts. You will learn the core dimensionality reduction skills and master the Multilayer Perceptron (MLP) technique. It’s a one-stop shop to learn Multilayer Networks. If you want to go beyond the core content you can do so at any time.

What if I have questions?

As if this course wasn’t complete enough, I offer full support, answering any questions you have.

This means you’ll never find yourself stuck on one lesson for days on end. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

Moreover, the course is packed with practical exercises that are based on real-life case studies. So not only will you learn the theory, but you will also get lots of hands-on practice building your own models.

And as a bonus, this course includes Python code templates which you can download and use on your own projects.

Ready to get started, developer?

Enroll now using the “Add to Cart” button on the right, and get started on your way to creative, advanced Multilayer Networks brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

See you on the inside (hurry, Neural Networks are waiting!)



Code Environment Setup

Google Colab for Programming in Python

Course Introduction

Introduction to Neural Networks

Neural Networks – Data Science Project

Introduction to the Dataset
Partition of the Dataset
Neural Network – Preprocessing
Neural Network – Training
Neural Network – Performance Evaluation

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